Text-to-image generation [1]}, [2]}, [3]}, as a benchmark task to test AI systems' multi-modal capability, has been widely studied over the past decade. The task takes a short sentence or phrase as input and outputs a single image illustrating the content of the input text. One of the latest successful works is DALL-E [1]}, which efficiently encodes and decodes images with discrete visual tokens and achieves remarkable text-to-image generation performance by prefixing visual tokens with natural language inputs.
